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Judd Katz Elite Prospects ↗

Position: Defense DOB: 2003-07-16 Country: Canada
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2018-19 Newmarket Hurricanes OJHL 1 0 0 0 0.000 — — — —
2020-21 St. Michael's Buzzers OJHL 0 0 0 0 0.000 — — — —
2021-22 St. Michael's Buzzers OJHL 27 0 4 4 0.148 0.0363 0.0373 0.1014 0.1042
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Neumann D3 MAC JR 23 2 6 8 0.348
2024-25 Neumann D3 MAC — 25 3 9 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.48
2024-25 · Neumann
+1263.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
5%
NCAA D2/D3
25%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#27033
Defenseman overall
#4114
Defenseman born in 2003
#4928
in OJHL

D1 Comparables

Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG

D2/3 Comparables

Mike McArthur
SUNY Oswego · 2015-16
0.000 No data
actual D2/3 PPG
Logan Ommen
St. Thomas · 2017-18
0.000 No data
actual D2/3 PPG
Tyler Hawkins
St. Thomas · 2005-06
0.000 No data
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.